Showing 138 open source projects for "decomposition"

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  • 1

    GTB: Graphics Toolbox

    C++ libraries and apps for computer graphics and data visualization

    The Graphics Toolbox (GTB) is a collection of C++ libraries and apps for computer graphics and data visualization. Wagner Correa initially created GTB as part of his Ph.D. research at Princeton University in collaboration with Professor Claudio Silva and Dr. James Klosowski. Several other researchers later contributed to GTB (see the AUTHORS file).
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  • 2
    The-Art-of-Linear-Algebra

    The-Art-of-Linear-Algebra

    Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

    ...It uses diagrams and graphic notes to make vector and matrix concepts more intuitive. The material emphasizes understanding calculations and algorithms through the perspective of matrix factorizations. Covered topics include column-row decomposition, Gaussian elimination, Gram-Schmidt orthogonalization, eigenvalue decomposition, and singular value decomposition. Separate visual resources explore eigenvalues and a broader conceptual “Matrix World.” The repository provides PDF, LaTeX, image, and presentation materials, with English, Japanese, and Chinese versions available.
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  • 3
    AlphaTensor

    AlphaTensor

    AI discovers faster, efficient algorithms for matrix multiplication

    AlphaTensor, developed by Google DeepMind, is the research codebase accompanying the 2022 Nature publication “Discovering faster matrix multiplication algorithms with reinforcement learning.” The project demonstrates how reinforcement learning can be used to automatically discover efficient algorithms for matrix multiplication — a fundamental operation in computer science and numerical computation. The repository is organized into four main components: algorithms, benchmarking,...
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  • 4
    TPLS

    TPLS

    High Resolution Direct Numerical Simulation (DNS) of Two-Phase Flows

    TPLS is a powerful and efficient 3D Direct Numerical Simulation (DNS) flow solver to simulate multiphase flows at unprecedented detail, speed and accuracy. This flow solver has been developed by Lennon Ó Náraigh (Mathematical Sciences, University College Dublin), Prashant Valluri (Engineering, University of Edinburgh), David Scott, Toni Collis and Iain Bethune (EPCC at the University of Edinburgh) and Peter Spelt (Université de Lyon1, Claude Bernard) under the aegis of several HECToR /...
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  • 5
    PeCalc

    PeCalc

    PeCalc is a polyvalent engineering calculator for S&T students

    PeCalc allows making calculations with integer fractions, complex numbers, complex matrices, rational functions and complex polynomials. It also allows making changes of numeric base, prime factor decomposition, solving linear equation systems, statistical and financial computations, rational fraction decomposition and plotting some control engineering graphs. PeCalc includes comprehensive user help in English and Spanish. Currently PeCalc runs on Android and MS Windows. A version for GNU Linux is planned for the near future. It has been developed in Object Pascal using Embarcadero Delphi. ...
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  • 6
    NESSIE is a modern first-principle calculation software that can adequately address the need for ever-higher levels of numerical accuracy and high-performance in large-scale electronic structure simulations, as well as pioneer the fundamental study of quantum many-body effects in a large number of emerging nanomaterials. NESSIE is an electronic structure code that uses a real-space FEM discretization and domain-decomposition (DD) to perform all-electron ground-state DFT and real-time excited-state TDDFT calculations. The code is written to take advantage of multilevel parallelisms of the FEAST eigenvalue solver to target systems containing many distributed-memory compute nodes. The real space mesh is generated using the software tetgen.
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  • 7

    eddys_snippets

    Small C snippets for futher projects

    Here are some my snippets which are developing independently for using in some current and future projects: - simple realisation of binary search trees; - realisation of bidirectional list and simple queues; - morphological operations with images (erosion, dilation, connected components search); - wavefront decomposition by Zernike polynomials & reconstruction of Zernike by gradient field to wavefront; - simple CLI interface for motorized linear translator Standa 8MT175-150 moving by SMSD-1.5 driver.
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  • 8
    Awesome Explainable Graph Reasoning

    Awesome Explainable Graph Reasoning

    A collection of research papers and software related to explainability

    A collection of research papers and software related to explainability in graph machine learning. Deep learning methods are achieving ever-increasing performance on many artificial intelligence tasks. A major limitation of deep models is that they are not amenable to interpretability. This limitation can be circumvented by developing post hoc techniques to explain the predictions, giving rise to the area of explainability. Recently, explainability of deep models on images and texts has...
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  • 9
    Scanning and tomographic X-ray Powder Diffraction data processing.
    Downloads: 3 This Week
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  • 10

    DiPoly

    Diffraction analysis of Polymers

    ...It is freeware with a friendly interface for the analysis of experimental powder X-ray diffractograms of polymer samples of biomass of various origins. A complex approach approach based on a combination of the Segal, decomposition and LeBale methods is used to estimate the degree of crystallinity. The Scherrer equation is used to determine the sizes of coherent scattering regions. The software can be used for structural diagnostics both in research and production control. To start the program run file Wpf_Polly.exe
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  • 11
    Awesome Community Detection Research

    Awesome Community Detection Research

    A curated list of community detection research papers

    A collection of community detection papers. A curated list of community detection research papers with implementations. Similar collections about graph classification, classification/regression tree, fraud detection, and gradient boosting papers with implementations.
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  • 12
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  • 13
    PROJECT DEVELOPEMENT IS MOVING TO GITHUB! New website: https://anharmonic.github.io/ Please get the latest version of the code from github repository: https://github.com/paulatz/d3q
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  • 14
    PyArmadillo

    PyArmadillo

    linear algebra library for Python

    PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma
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  • 15

    MetaPhat -meta-pheno-association-tracker

    Multivariate traits genome-wide association analysis and decomposition

    MetaPhat is an open sourced program to detect optimal subset traits on lead SNP associations from multiple biomarker GWAS summary results. Best traits are derived from systematic decomposing multivariate associations into central traits based on optimal BIC and P-value from multivariate CCA models. SNP trace results are plotted and clustered to dissect and improve the specificity of mv phenotype-genotype associations. released with LD function...
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  • 16
    DarkF

    DarkF

    DarkF is an FFT optical simulation code for GW inteferometers

    DarkF is an optical simulation code in FORTRAN 90 able to represent with a high accuracy any kind of stable cavity, even when many static or dynamical defects are present, like misalignments, curvature errors, surface irregularities, substrate inhomogeneities. It uses a plane wave decomposition to propagate the wavefronts. Beams and mirrors are sampled on a grid of coordinates (x; y) and the DarkF resolution is depending on the grid size and on the sampling rate (typically a size of 0.6m (larger than a mirror) and a sampling rate of 256*256). With the Fourier transform method, it is easy to obtain a propagated beam and we can use this code to simulate a simple or a complex system as a Fabry Perot cavity or Advanced detector, like Advanced Virgo, Advanced LIGO or Kagra. ...
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  • 17
    QMForge reads output from various quantum mechanical calculations and provides tools for analyzing these results. Specifically, population (Mulliken and C-squared), fragment, and charge decomposition analyses are available. See https://qmforge.net for more info.
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    Downloads: 1 This Week
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  • 18
    Replica Dataset

    Replica Dataset

    High-fidelity indoor 3D dataset for AI simulation and robotics

    ...Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes.
    Downloads: 12 This Week
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  • 19
    DIFRATE

    DIFRATE

    DIstortion Free Relaxation Analysis TEchnique (DIFRATE) software

    ...DOI: https://doi.org/10.1063/1.5013316 Updates in version 2 allow separation of tumbling in solution and internal motion, include more experiment types, and simplify detector design with singular value decomposition: Albert A. Smith, Matthias Ernst, Beat H. Meier, Fabien Ferrage. "Reducing bias in the analysis of solution-state NMR data with dynamics detectors." (2018) Currently available: http://doi.org/10.1002/anie.201901929 Contact: alsi-nmr@users.sourceforge.net Please contact me if you have any questions. Also check out INFOS for data extraction from NMR spectra (infos.sourceforge.net).
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  • 20
    JCSprout

    JCSprout

    Basic, concurrent algorithm

    JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best...
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  • 21
    TOFSIMS

    TOFSIMS

    R/Bioconductor toolkit for mass spectrometry data

    The tofsims project is an R/Bioconductor toolkit designed for processing, analyzing, and visualizing imaging mass spectrometry data from Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) instruments. It supports importing raw and preprocessed data from popular instrument platforms (e.g. IONTOF, Ulvac-Phi) and provides methods for mass calibration, peak picking, and peak integration. The package allows transformation of spectra into 2D image structures (mass images), with operations...
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  • 22

    PhotonLoop

    Adaptive Optics Measurement and Correction Software

    Adaptive Optics Measurement and Correction Software
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    Downloads: 7 This Week
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  • 23
    Computational Linear Algebra for Coders

    Computational Linear Algebra for Coders

    Free online textbook of Jupyter notebooks

    ...Instead of emphasizing purely theoretical mathematics, the project takes a programming-oriented approach that helps developers understand how linear algebra algorithms are implemented in real computational systems. The course explores topics such as matrix decomposition, numerical stability, and optimization techniques that are essential for machine learning and data science applications.
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  • 24
    ...We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014
    Downloads: 6 This Week
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  • 25
    mctc4bmi

    mctc4bmi

    Matrix and Tensor Completion for Background Model Initialization

    MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance.
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